Evaluation Model Of Market Transaction In Energy Internet Based On Big Data

With the unbalanced distribution of global energy resources and the increasing climate change,the constraints of resources and environment on energy development are becoming stronger and stronger,under this background,the energy internet provides an efficie nt resolution to this conflict.Energy internet is the backbone of the third industrial revolut io n which can effectively al eviate the contradiction between energy and the environment.With the paralleling in grid of distributed energy and the implementation of energy storage,the data information involved in energy internet will increase exponentially.This requires effective analysis for these massive data to extract valuable information to the maximum,optimize energy efficiency.Therefore,the application modeling research of energy internet will be proposed in this thesis to provide a reference for future implementation of big data through energy internet.Firstly,the review of current research situation of energy internet and big data will be displayed,the basic concepts of energy internet and big data will be expounded,at the same time,the characteristics of energy internet and big data will be analyzed to facilitate and solve the application scenario model.The data sources from the four aspects of source-net-chargestorage and the main analytical methods of big data can provide theoretical foundation and data preparation for the application modeling of big data of energy internet.Secondly,the typical application scenarios of large data of energy internet can be built from four aspects: source-net-charge-storage by combining the application scenarios of energy internet and big data-analysis methods to provide relevant references.These application scenarios can be divided into four parts: the output prediction of distributed energy based on cloud theory,the evaluation of distributed micro-network system reliability based on ideal point method,the intelligent power-side terminal response platform based on human-computer interaction and the operation analysis of charging and discharging mode based on vehicle-net cooperation.All of these are based on big data analysis algorithm of multi-source information and geographic information,power systematic information,weather information,energy information and resource information.Finally,the path optimization method of electricity market efficiency based on structural equation is built according to the specific application scenario of energy internet to monitor the market efficiency.The factor analysis is used to refine the latent variables that affect the efficiency of the electricity market.At the same time,the path analysis is also used to mathematical model of latent variables.All the observable and unobservable variables and the complex relationship between them are fully excavated so as to facilitate the reasonable development of the electricity market by the relevant personnel of the electricity market.The innovations of this paper are as follows:(1)the big data of energy internet is studied by using qualitative and quantitative methods and combining big data technology with energy internet;(2)the big data analyzing models under different application scenarios are built through selecting the typical scenes in energy internet.